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The proposed tracking model is able to transfer the pattern learned in localization into tracking but also reduce the location-state candidates at each transmission iteration, which increases both the computation efficiency and tracking accuracy.
Through combining a steady state model with a transient state model, both the computation efficiency and accuracy are ensured.
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In order to improve the computation efficiency, we apply parallel computing technique with Message Passing Interface (MPI).
The computational grid is employed to improve the computation efficiency of air pollution models.
To improve the computation efficiency, we developed a randomized algorithm, computing σ T (v) for T≥5.
The computation efficiency is improved by more than one-order for both mechanisms.
The extensive experiments on both laptop and smart phone platforms show that the proposed scheme has greatly improved the computation efficiency and requires much less communication cost.
To demonstrate the computation efficiency of GGA-method, we compare the computation time for both methods.
Consequently, the computation efficiency is improved.
Our calculations show that the computation efficiency can be substantially improved by the two-step approach.
The computation efficiency of the explicit stress-point based peridynamic model is analyzed in the end.
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CEO of Professional Science Editing for Scientists @ prosciediting.com